This is definitely a but, in the super class it should have the same condition (the issue is checking if you are trying to change the "main" task)
Thanks ApprehensiveFox95
I'll make sure we push a fix 🙂

Yeah I think using voxel for forensics makes sense. What's your use case ?

BoredHedgehog47 you need to make sure "<path here>/train.py" also calls Task.init (again no need to worry about calling it twice with different project/name)
The Task.init call will make sure the auto-connect works.
BTW: if you do os.fork , then there is no need for the Task.init, the main difference is that POpen starts a whole new process, and we need to make sure the newly created process is auto-connected as well (i.e. calling Task.init)

I want to be able to compare scalars of more than 10 experiments, otherwise there is no strong need yet

Make sense, in the next version, not the one that will be released next week, the one after with reports (shhh do tell anyone 🙂 ) , they tell me this is solved 🎊

Seems like passing the Task object is not working as expected (I'll make sure it is fixed).
Try:
dataset._task.set_parent(Task.current_task().id)

ReassuredTiger98 could you provide more information ? (versions, scenario. etc.)

if I use automatic code analysis it will not find all packages because of 

importlib

.

But you can manually add them with Task.add_requirements, no?

thanks MagnificentSeaurchin79 , yes that makes it clear.
If that is the case, I think building a container is the easiest solution 🙂
(BTW: You could also build a wheel, if you have setup.py then running is once bdist_wheel will build a wheel, and then install the wheel)

If you mean like Canary ? then yes, but only on KFserving baclend (coming soon), since the engines themselves do not support it (this is basically a "routing" feature)

Hi @<1578193384537853952:profile|MoodyOx45>

I have a task A that creates another task B via subprocess.

So the thing about the agent, when it runs the code, there is only One task to rule them all. basically any fork/spawn of subprocess will automatically be logged as the parent Task
I think that what you want is to build a pipeline from those Tasks? Or create a Task and enqueue it manually directly from Task A?

(btw: you can forcefully cause the subprocess to create it's own Task b...

Full markdown edit on the project so you can create your own reports and share them (you can also put links to the experiments themselves inside the markdown). Notice this is not per experiment reporting (we kind of assumed maintaining a per experiment report is not realistic)

Hi DeliciousBluewhale87
This is the latest clearml-serving (stable release at GTC at the end of the month)
https://github.com/allegroai/clearml-serving/tree/dev

Generally speaking, clearml-sering is a control plane, preprocessing, ML inference, with Nvidia Triton for DL inference (fully transparent).
It allows you to spin an entire fully dynamic & scalable serving on top of k8s cluster. Once you spin the base containers, you can configure them live with a CLI, this includes adding new en...

we run in containers without venv, in the main section, and then delete it or use it for similar experimentsIf this is the case then the idea is the venv creation is actually cached, you can turn it on here (unmark the line)
https://github.com/allegroai/clearml-agent/blob/51eb0a713cc78bd35ca15ed9440ddc92ffe7f37c/docs/clearml.conf#L116

Failing when passing the diff to the git command...

That said, it might be different backend, I'll test with the demoserver

(i.e. importing the trains package is enough to patch the argparser, only when you call the task.init the arguments will be logged, before they are stored in memory)

Hi SharpHedgehog60
Task type is another way to declare the type of processing the Task performs.
Later you can filter based on the Task type (like you would with a Tag).
For example Datasets are always of a Type "data processing"

DepressedChimpanzee34
I might have an idea , based on the log you are getting LazyCompletionHelp in stead of str
Could it be you installed hyrda bash completion ?
https://github.com/facebookresearch/hydra/blob/3f74e8fced2ae62f2098b701e7fdabc1eed3cbb6/hydra/_internal/utils.py#L483

Noooooooooo, it is still working 🙂

Hi DilapidatedDucks58

eg, we want max validation accuracy and all other metric values for the corresponding epoch

Is this the equivalent of nested sort ?
Wouldn't you get the requested behavior if you add all metric columns but sort based on the "accuracy" column ?

To be honest, I'm not sure I have a good explanation on why ... (unless on some scenarios an exception was thrown and caught silently and caused it)

I started a last one to confirm!

You mean a second run, just to make sure ?

JitteryCoyote63 passed ?

@<1545216077846286336:profile|DistraughtSquirrel81> shoot an email to "support@clear.ml" and provide all the information you can on the "lost account" (i.e. the one you had the data on), this means email account that created it (or your colleagues emails), and any other information that might help to locate it.

I'll make sure they get back to you

It also seems that

PipelineDecorator.upload_artifact

is not compatible with caching, sadly,

Both use the exact same mechanism of uploading artifacts (i.e. including caching for downloaded artifacts), in terms of caching pipeline components, this is on a component level (i.e. same code/task same arguments, equals cache hit)
What exactly are you getting ? how is it that the "PipelineDecorator.upload_artifact" uploads to a different storage ? is that reproducible ?

Could you post what you see under "installed packages" in the UI ?

build your containers off these two? or are you building directly from code ?

Okay, I'm pretty sure there is a hack, let me see if there is something "nicer"

Ssh is used to access the actual container, all other communication is tunneled on top of it. What exactly is the reason to bind to 0.0.0.0 ? Maybe it could be a flag that you, but I'm not sure in what's the scenario and what are we solving, thoughts?